Research on similarity algorithm of normal cloud based on double envelope curves
Huabin Cheng, Yonghong Chen · 2021
The algorithm of normal cloud similarity based on double envelope curve is presented. Solving the equation sets of inner envelope curve of normal cloud model, regarding the position of the intersection point of the equations, the ratio of the area of overlapping part of two inner envelope curves to the area surrounded by the inner envelope curve and transverse axis is calculated, which is the same for the outer envelope curve. Take the average value of these two ratios as the similarity of two normal clouds, the new algorithm is established. This new normal cloud similarity algorithm not only fully embodies the three digital features of normal cloud, but also has good stability and is not affected by the number of cloud droplets. The comparison between the algorithm and two existing algorithms is given by an example by which the effectiveness and superiority of the algorithm are verified.